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At this time, we’re thrilled to announce that Databricks SQL is Usually Out there (GA)! This follows the announcement earlier this month about Databrick SQL’s world record-setting efficiency for information warehousing workloads, and adoption of normal ANSI SQL. With GA, you possibly can anticipate the very best stage of stability, assist and enterprise-readiness from Databricks for mission-critical workloads on the Databricks Lakehouse Platform. On this weblog put up, we discover how Databricks SQL is powering a brand new technology of analytics and information purposes, operating immediately on the information lake, on the world’s main firms.
Prospects win with the open lakehouse
Traditionally, information groups needed to resort to a bifurcated structure to run conventional BI and analytics workloads, copying subsets of the information already saved of their information lake to a legacy information warehouse. Sadly, this led to the lock-in, excessive prices and complicated governance inherent in proprietary architectures.
Our prospects requested us to simplify their information structure. We launched Databricks SQL to offer information warehousing capabilities and top notch assist for SQL on the Databricks Lakehouse Platform. Utilizing open requirements, Databricks SQL supplies as much as 12x higher value/efficiency for information warehousing and analytics workloads on present information lakes. And it really works seamlessly with fashionable instruments like Tableau, PowerBI, Looker, and dbt with out sacrificing concurrency, latency and scale, all of the whereas sustaining a single supply of fact to your information.
Databricks SQL is already powering manufacturing use instances at main firms across the globe. From startups to enterprises, over 1,000 firms are utilizing Databricks SQL to energy the subsequent technology of self-served analytics and information purposes:
- Atlassian is constructing on the Lakehouse Platform one of the bold information purposes on the planet, offering almost 190K exterior customers with the power to generate insights and analytics on the freshest information. Databricks SQL can be enabling information democratization internally throughout over 3K customers, and extra BI workloads are transferring to Databricks SQL with PowerBI.
- Punchh has accelerated ETL pipelines, democratized information and analytics, and improved BI and reporting—growing buyer retention and loyalty. Databricks SQL permits Punchh’s information workforce to question their information immediately inside Databricks after which share insights via wealthy visualizations and quick reporting by way of Tableau.
- SEGA Europe has moved away from a expensive information warehouse-centric structure to the Databricks Lakehouse Platform. And in doing so, efficiently unified large quantities of structured and unstructured information. This allows their information groups to derive insights wanted to ship customized experiences to 30 million avid gamers throughout the globe. SEGA Europe’s present BI instruments, Tableau and PowerBI, work seamlessly with Databricks SQL.
Powering trendy analytics on the lakehouse
Databricks SQL gives all of the capabilities you should run information warehousing and analytics workloads on the Databricks Lakehouse Platform:
- Instantaneous, elastic SQL-optimized compute for low-latency, high-concurrency queries which can be typical in analytics workloads. Compute is separated from storage so you possibly can scale with confidence.
- Integration along with your present instruments equivalent to Tableau, PowerBI, dbt and Fivetran, so you may get worth out of your information with out having to study new options.
- Simplified administration and information governance, so you possibly can shortly and confidently allow self-serve analytics.
- A primary-class, built-in analytics expertise with a SQL question editor, visualizations and interactive dashboards. Analysts can go from zero-to-aha! in moments.
We will’t wait to see what you construct
Watch the demo beneath to find the convenience of use of Databricks SQL for analysts and directors alike:
For those who already are a Databricks buyer, simplify comply with the information to get began (AWS | Azure). Learn the launch notes to study extra about what’s included on this GA launch. In case you are not an present Databricks buyer, join a free trial with a Premium or Enterprise workspace.
Watch Delivering Analytics on the Lakehouse with Reynold Xin to study extra, and don’t miss our free digital coaching on January 13, 2022 to dive in!
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